AI Solution Architect

Systems Limited; Islamabad; On-site; PKR 6,000,000 - 10,000,000; Full time

Job summary

Systems Limited seeks an accomplished AI architecture leader to own the architecture of AI-native applications across data, applications, and infrastructure. The role requires 10+ years in production systems architecture with deep AI, cloud, ML engineering, and modernization experience.

You will design end-to-end AI-native architectures, define standards, mentor teams, and present decisions to client leadership while balancing best practices with delivery timelines in a fast-paced environment.

Qualifications

• 10+ years in production systems architecture.
• 3+ years in AI-native application architecture.
• 5+ years of production-scale ML engineering.

Responsibilities

• Design end-to-end architecture for AI-native applications, including data flow, security, and cost.
• Define AI APIs and services and integration patterns.
• Establish architecture standards, ADRs, and best practices.
• Lead architecture reviews and mitigate risks across systems.
• Architect production ML pipelines, model serving and retraining.
• Define ML engineering standards including testing and CI/CD.
• Mentor AI engineers and developers on architecture and design.
• Present and defend architecture decisions to client leadership.

Skills

AI architecture

Leadership

Stakeholder mgmt

ADR writing

Cloud platforms

System design

Tools

Azure AI Foundry

AWS Bedrock

Vertex AI

Azure ML

SageMaker

LangChain

Hugging Face

Job description

Own the architecture of AI-native applications, ensuring seamless integration across AI capabilities, applications, data, and infrastructure. The role requires 10+ years of experience in architecting production systems, with strong expertise in AI, cloud platforms, ML engineering, and enterprise modernization.

Responsibilities:

• Design end-to-end architecture for AI-native applications, including integration, data flow, security, and cost.
• Design AI APIs and services and define how AI capabilities integrate with applications.
• Establish architecture standards, reference patterns, and best practices.
• Lead architecture reviews and identify technical, integration, scalability, and modernization risks.
• Architect production ML pipelines, model serving, retraining, and high-throughput systems.
• Define ML engineering standards covering testing, versioning, and CI/CD.
• Lead root-cause analysis for critical production ML issues.
• Drive legacy-to-AI-native modernization initiatives.
• Partner with QA/AI Assurance teams to ensure architectural testability.
• Mentor AI Engineers and Developers on architecture and design standards.
• Present and defend architecture decisions to client technical leadership.
• Balance technical best practices with project timelines and delivery requirements.

Qualifications:

• 8+ years of experience in production system architecture, including 3+ years in AI-native application architecture.
• 5+ years of production-scale ML engineering experience.
• Strong expertise in Azure AI Foundry, AWS Bedrock, and Google Vertex AI.
• Experience with Azure ML, AWS SageMaker, and Vertex AI Prediction.
• Strong knowledge of APIs, microservices, event-driven architecture, API gateways, service mesh, and secure integrations.
• Experience with LangChain, Hugging Face, knowledge graphs, and semantic layers is preferred.
• Deep understanding of AI architecture challenges including latency, non-determinism, scalability, and cost optimization.
• Experience in legacy modernization and AI-native transformation.
• Strong architecture documentation and ADR writing skills.
• Excellent stakeholder management and client-facing communication skills.
• Strong leadership, mentoring, and technical decision-making abilities.